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Summary

Machine Learning with TensorFlow

TensorFlow is a powerful open source software library for performing various numerical data flow graphs. With its powerful resources, TensorFlow is perfect for machine learning enthusiasts, offering plenty of workspace where you can improve your machine learning techniques and build your own machine learning algorithms.

Thanks to its capability, in recent times TensorFlow definitely has made its way into the software mainstream, so everyone who is interested in machine learning definitely should consider getting their hands on TensorFlow practices.

With this book as your guide, you will get your hands on TensorFlow machine learning techniques, learn how to perform different neural network operations, learn how to deal with massive data sets, and learn how to build your first machine learning model for data classification.

Here's a preview of what you'll learn:

What is machine learning

Main uses and benefits of machine learning

How to get started with TensorFlow, installing and loading data

Data flow graphs and basic TensorFlow expressions

How to define your data flow graphs and how to use TensorBoard for data visualization

Main TensorFlow operations and building tensors

How to perform data transformation using different techniques

How to build high performance data pipelines using TensorFlow Dataset framework

How to create TensorFlow iterators

Creating MNIST classifiers with one-hot transformation

Get this audiobook now and learn how to do various machine learning tasks using TensorFlow!

five stars

Very good book.
Covers many of the important algorithms and necessary/required steps for Machine Learning, and does that in an approachable way.
Most likely the best book our there for introduction to machine learning (data science) with Python.

buy this

If you are looking for an extremely theoretical text on machine learning, then you might want to look elsewhere.
If you are looking for a guided introduction to the "bread-and-butter tools" of a great machine learning framework in Python, buy this.

develped guide

I bought this book to help me get up and running quick for a project in an "Introduction to Machine Learning" independent study course. Of the books I bought for the same task, this was by far the most helpful for building practical machine learning applications.

helpful

This is a great book for learning how to actually apply machine learning methods rather than focusing on the math and theory behind those methods., this book is a great companion to a classic machine learning audiobook such as Elements of Statistical Learning.

SIMPLY SUPERB

I found this book to be quite informative for someone who just get into machine learning. Lots of good examples provided..however, I want to see some more real world application examples rather than sample data sets.

best book

This book covers all of the basics. It goes into ample detail about the assumptions that are made with different models. It also talks extensively about various algorithms fit for different, real life problems

practical

A healthy discussion of the skills and techniques you'll need to perform best-practices machine learning and data science. Very concise code examples and practical

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Overall

5 out of 5 stars

Performance

5 out of 5 stars

Story

5 out of 5 stars

Jamsheer

25-05-18

learning to it interestly

his Book Is Great! easy to read and Understand,, Step by Step! Worth every penny!
Would Highly recommend this book!

Overall

5 out of 5 stars

Performance

4 out of 5 stars

Story

5 out of 5 stars

Marcelino Cuevas

25-05-18

iformative

For anyone who is interested in learning the terminology and scope of approaches that comprise machine learning, this book is current, concise, and informative.

Overall

5 out of 5 stars

Performance

5 out of 5 stars

Story

5 out of 5 stars

Anonymous User

24-05-18

interesting

This author's Wonderful stories are very well written, exciting and enjoyable to listen. You don't want to put it down. Her stories flow quite well, there is never a dull moment.

Overall

5 out of 5 stars

Performance

5 out of 5 stars

Story

5 out of 5 stars

Anonymous User

24-05-18

amazing

An ideal book for both beginners and experienced online business players. Because here it is well described the importance of each step, as well as what will be if treated lightly.

Overall

5 out of 5 stars

Performance

5 out of 5 stars

Story

5 out of 5 stars

Scottie Beaver

24-05-18

good listen

This gives us all the benefit of the lessons learned and feedback that had been provided to the author and also allows us all to get insight on the latest libraries and tools that were known and available when this book was updated.

Overall

5 out of 5 stars

Performance

4 out of 5 stars

Story

5 out of 5 stars

shabrish

24-05-18

stepping stone

Good book to get introduced into Machine Learning and Data Mining. You won't pick up any useful technical skills but you will have a good general understanding of Machine Learning. I would use this book as the first stepping stone into Machine Learning.

Overall

5 out of 5 stars

Performance

4 out of 5 stars

Story

5 out of 5 stars

Reinaldo Costa

24-05-18

formulated ideas

The more you hew to the "normal" the better your recommendations will meet your expectations. Machine Learning tends to standardize our likes and dislikes, reinforcing our already formulated ideas.

Overall

5 out of 5 stars

Performance

5 out of 5 stars

Story

4 out of 5 stars

Rodney Wagner

23-05-18

machine learning

A clear and concise overview of Machine Learning. I always wondered how AI could determine so many of our wants and desires before we knew them ourselves.

Overall

5 out of 5 stars

Performance

5 out of 5 stars

Story

5 out of 5 stars

riyakhan

23-05-18

excellent book

This is an excellent book about a relatively new concept utilizing Artificial Intelligence to program machines for the purpose of doing something that would be in the realm of a human activity, actually introducing the concept of learning done on the part of a machine, how it is done, it's capabilities, limitations, challenges to mankind, machine learning

Overall

5 out of 5 stars

Performance

5 out of 5 stars

Story

4 out of 5 stars

Bronco

19-05-18

A Deeper Look at Machine Learning

I quickly looked through some deep learning chapters and enjoyed it, it's not complex and the author did a nice job to explain it clearly.